Team Based Learning Description and Rationale
This resource from the Vanderbilt Center for Teaching explains how the model uses a flipped-classroom approach, provides a step-by-step guide, and clarifies its theoretical basis.
PBL Clearinghouse at University of Delaware
This Problem Library provides searchable categories by discipline, task length, and level.
An Overview of Problem-Based Learning from the University of Connecticut
This short overview provides a succinct description of the process and the roles that students should expect to play.
Simulation as a Teaching Strategy
This page from the Center for Teaching and Learning at Kent State University provides a short literature review for the use of simulation in teaching and then walks you through implementation (including preparation and active participation). The FAQs provide some insights to help instructors troubleshoot.
From the Center for Innovation in Teaching and Learning at the University of Illinois Urbana-Champaign, this page introduces the theoretical foundations and benefits of the method along with steps to get started: “Cases are narratives, situations, select data samplings, or statements that present unresolved and provocative issues, situations, or questions (Indiana University Teaching Handbook, 2005). The case method is a participatory, discussion-based way of learning where students gain skills in critical thinking, communication, and group dynamics. It is a type of problem-based learning. Often seen in the professional schools of medicine, law, and business, the case method is now used successfully in disciplines such as engineering, chemistry, education, and journalism. Students can work through a case during class as a whole or in small groups.”
This Marshall resource page provides some helpful hints on how to design activities and assessments that will facilitate critical thinking surrounding the use of AI. The suggested activities are all built around the problems that AI raises in the academic environment, approaching the tool as an unavoidable complexity presented by the modern workforce. Videos and podcasts from academic leaders at Wharton and Arizona State will introduce you to some of the most compelling perspectives on AI in the academic community.